NDLI: Factors on the sense of privacy in video surveillance

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Factors on the sense of privacy in video surveillance

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Factors on the sense of privacy in video surveillance

Content Provider	ACM Digital Library
Author	Toriyama, Tomoji Koshimizu, Takashi Babaguchi, Noboru
Abstract	With the increasing demand for greater security, video surveillance technologies have recently received a lot of attention. As video surveillance cameras become ubiquitous, there are growing concerns over the cost of monitoring these systems and the possible invasion of privacy. In this paper, we discuss a system architecture of privacy-preserving video surveillance for a community that achieves a good balance between security and privacy. We call the designed system 'PriSurv'. A subset of PriSurv is implemented, and privacy protected image processing modules are installed. The privacy preserving image processing is called visual abstraction. We conducted an experiment using five abstracted images and a questionnaire to evaluate PriSurv. Analyzing the results of the experiment using factor analysis, we obtained seven factors. With a hierarchical cluster analysis, we divided the subjects into three clusters. A significant difference in the choice of images among the clusters was found using the Pearson χ-squared test. From this analysis, we show that the relationships between subjects and monitors affect the subjects' sense of privacy; furthermore, the subjects' sense of privacy depends on the individual person. The results of analysis supports PriSurv's design principle, which can adapt the personal sense of privacy.
Starting Page	35
Ending Page	44
Page Count	10
File Format	PDF
ISBN	1595934987
DOI	10.1145/1178657.1178665
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-10-28
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Privacy Privacy policy Video surveillance Security
Content Type	Text
Resource Type	Article

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